Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students

Rex Perez Bringula, Janszen Kiel L. Jose, Arnelle T. Lardizabal and John Raymon D. Lizaso
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Rex Perez Bringula: University of the East, Philippines
Janszen Kiel L. Jose: University of the East, Philippines
Arnelle T. Lardizabal: University of the East, Philippines
John Raymon D. Lizaso: University of the East, Philippines

International Journal of Mobile Human Computer Interaction (IJMHCI), 2023, vol. 15, issue 1, 1-19

Abstract: This study determined the factors that influenced the usability of a mobile-based intelligent agent called “AskRed.” The design-related factors were evaluated in terms of performance, accuracy, responsiveness, aesthetics, and completeness. The usability of the software was determined in terms of satisfaction and intention to re-use the software. The software received favorable ratings from the students. Experts' software evaluation recommended strengthening the design of the intelligent agent in terms of security, performance, completeness, and ease-of-use. Multiple regression analyses showed that performance and completeness influenced satisfaction and intention to re-use. Aesthetics and responsiveness influenced satisfaction but not intention to re-use. Responsiveness had a negative impact on satisfaction. The predictive powers of the regression equations are 58% and 73%. This study provided empirical evidence on the predictors of usability of an intelligent agent used in a university setting.

Date: 2023
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